Aiming at the problem that it is difficult to quickly search the map images in the network and to mark them effectively at present,this paper proposed the use of deep web search engine to continuously obtain network images.In the case of fewer marked samples,network map images could be quickly and effectively drawn out using an actively learning-based sample diffusion algorithm,a network map picture automatic semantic indexing method based on the convolutional neural network(CNN).The recognition accuracy of the map image was93.64%.The difficulty to acquire sample and image identification in an artificial method was overcame,the problem of intelligent extraction of network map images under rare samples was effectively solved.It could provide effective guarantee for geographic information mining and problem map supervision,and so on.